Literature DB >> 34909875

Relationship of ERCC5 genetic polymorphisms with metastasis and recurrence of gastric cancer.

Shulan Wang1, Xiang Chen1, Yingming Fu2, Huiqin Zhang1, Wenwen Liu1, Xuejuan Song1, Xin Ma1, Sha Cheng1, Juanjuan Lu1.   

Abstract

OBJECTIVE: This study aims to explore the role of ERCC5 genetic polymorphisms in gastric cancer and their relationship with metastasis and recurrence of gastric cancer.
METHODS: A total of 200 patients with gastric cancer and 133 healthy subjects were enrolled. MassARRAY iPLEX® technology was used to genotype ERCC5 rs2016073, rs751402, rs2094258, rs2296147, and rs2296148 between the control group and the gastric cancer group. The relationship of ERCC5 genetic polymorphisms with metastasis and recurrence of gastric cancer was explored. The differences in sociodemographic characteristics between patients with gastric cancer and control subjects were compared using the chi-square test. The genetic loci between the control group and the gastric cancer group were analyzed by the chi-square test.
RESULTS: There was no significant difference in the metastasis of gastric cancer between males and females (p=0.628), but there was a significant difference in the metastasis of gastric cancer (p=0.005). Patients aged ≤60 years and >60 years showed no significant difference in the metastasis of gastric cancer (p=0.420), but there was a significant difference in the recurrence of gastric cancer (p<0.001). The loci rs2016073, rs751402, and rs2094258 in the gastric cancer group showed no significant differences compared with the control group (p=0.194), and the loci rs2296147 and rs2296148 showed significant differences.
CONCLUSIONS: The results suggested that ERCC5 polymorphisms (e.g., rs201607, rs751402, rs2094258, rs2296147, and rs2296148) may be associated with metastasis and recurrence of gastric cancer.

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Year:  2021        PMID: 34909875     DOI: 10.1590/1806-9282.20210209

Source DB:  PubMed          Journal:  Rev Assoc Med Bras (1992)        ISSN: 0104-4230            Impact factor:   1.209


  1 in total

1.  Identification of candidate biomarkers associated with gastric cancer prognosis based on an integrated bioinformatics analysis.

Authors:  Yong Liu; Da-Xiu Wang; Xiao-Jing Wan; Xian-Hong Meng
Journal:  J Gastrointest Oncol       Date:  2022-08
  1 in total

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